TE-nester:用于基于结构发现嵌套转置元素的递归软件工具

M. Lexa, Radovan Lapar, Pavel Jedlička, Ivan Vanat, M. Cervenanský, E. Kejnovský
{"title":"TE-nester:用于基于结构发现嵌套转置元素的递归软件工具","authors":"M. Lexa, Radovan Lapar, Pavel Jedlička, Ivan Vanat, M. Cervenanský, E. Kejnovský","doi":"10.1109/BIBM.2018.8621071","DOIUrl":null,"url":null,"abstract":"Eukaryotic genomes are generally rich in repetitive sequences. LTR retrotransposons are the most abundant class of repetitive sequences in plant genomes. They form segments of genomic sequences that accumulate via individual events and bursts of retrotransposition. A limited number of tools exist that can identify fragments of repetitive sequences that likely originate from a longer, originally unfragmented element, using mostly sequence similarity to guide reconstruction of fragmented sequences. Here, we use a slightly different approach based on structural (as opposed to sequence similarity) detection of unfragmented full-length elements, which are then recursively eliminated from the analyzed sequence to repeatedly uncover unfragmented copies hidden underneath more recent insertions. This approach has the potential to detect relatively old and highly fragmented copies. We created a software tool for this kind of analysis called TE-nester and applied it to a number of assembled plant genomes to discover pairs of nested LTR retrotransposons of various age and fragmentation state. TEnester will allow us to test hypotheses about genome evolution, TE life cycle and insertion history. The software, still under improvement, is available for download from a repository at https://gitlab.fi.muni.cz/lexa/nested.","PeriodicalId":108667,"journal":{"name":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"TE-nester: a recursive software tool for structure-based discovery of nested transposable elements\",\"authors\":\"M. Lexa, Radovan Lapar, Pavel Jedlička, Ivan Vanat, M. Cervenanský, E. Kejnovský\",\"doi\":\"10.1109/BIBM.2018.8621071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Eukaryotic genomes are generally rich in repetitive sequences. LTR retrotransposons are the most abundant class of repetitive sequences in plant genomes. They form segments of genomic sequences that accumulate via individual events and bursts of retrotransposition. A limited number of tools exist that can identify fragments of repetitive sequences that likely originate from a longer, originally unfragmented element, using mostly sequence similarity to guide reconstruction of fragmented sequences. Here, we use a slightly different approach based on structural (as opposed to sequence similarity) detection of unfragmented full-length elements, which are then recursively eliminated from the analyzed sequence to repeatedly uncover unfragmented copies hidden underneath more recent insertions. This approach has the potential to detect relatively old and highly fragmented copies. We created a software tool for this kind of analysis called TE-nester and applied it to a number of assembled plant genomes to discover pairs of nested LTR retrotransposons of various age and fragmentation state. TEnester will allow us to test hypotheses about genome evolution, TE life cycle and insertion history. The software, still under improvement, is available for download from a repository at https://gitlab.fi.muni.cz/lexa/nested.\",\"PeriodicalId\":108667,\"journal\":{\"name\":\"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BIBM.2018.8621071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2018.8621071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

真核生物基因组通常具有丰富的重复序列。LTR逆转录转座子是植物基因组中最丰富的一类重复序列。它们形成了基因组序列的片段,这些片段通过个体事件和反转录转位的爆发而积累。现有的工具数量有限,可以识别可能来自更长的、最初未片段化元素的重复序列片段,主要使用序列相似性来指导片段序列的重建。在这里,我们使用了一种稍微不同的方法,基于未片段全长元素的结构(而不是序列相似性)检测,然后从分析的序列中递归地消除这些元素,以重复发现隐藏在最近插入下的未片段副本。这种方法有可能检测到相对较旧和高度碎片化的副本。我们为这种分析创建了一个名为TE-nester的软件工具,并将其应用于许多组装的植物基因组,以发现不同年龄和碎片状态的嵌套LTR反转录转座子对。TEnester将允许我们测试关于基因组进化、TE生命周期和插入历史的假设。该软件仍在改进中,可从https://gitlab.fi.muni.cz/lexa/nested的存储库下载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TE-nester: a recursive software tool for structure-based discovery of nested transposable elements
Eukaryotic genomes are generally rich in repetitive sequences. LTR retrotransposons are the most abundant class of repetitive sequences in plant genomes. They form segments of genomic sequences that accumulate via individual events and bursts of retrotransposition. A limited number of tools exist that can identify fragments of repetitive sequences that likely originate from a longer, originally unfragmented element, using mostly sequence similarity to guide reconstruction of fragmented sequences. Here, we use a slightly different approach based on structural (as opposed to sequence similarity) detection of unfragmented full-length elements, which are then recursively eliminated from the analyzed sequence to repeatedly uncover unfragmented copies hidden underneath more recent insertions. This approach has the potential to detect relatively old and highly fragmented copies. We created a software tool for this kind of analysis called TE-nester and applied it to a number of assembled plant genomes to discover pairs of nested LTR retrotransposons of various age and fragmentation state. TEnester will allow us to test hypotheses about genome evolution, TE life cycle and insertion history. The software, still under improvement, is available for download from a repository at https://gitlab.fi.muni.cz/lexa/nested.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信